serena-memory

name	serena-memory
description	This skill should be used when the user asks to "save project context", "load memories", "persist knowledge", "remember this for next session", "update architecture notes", or mentions Serena's write_memory, read_memory, list_memories, edit_memory tools.

Serena Memory Management

Memory Operations

Operation	Tool
Save knowledge	write_memory(key, content)
Update existing	edit_memory(key, content)
Load knowledge	read_memory(key)
List all	list_memories()
Remove	delete_memory(key)

Recommended Memory Keys

Key	Purpose
architecture_overview	System architecture
code_conventions	Coding standards
recent_changes	Latest commits
known_issues	Bugs and workarounds
test_patterns	Testing conventions
session_context	Current task (preserved during compaction)

When to Update Memories

1. After exploration: Save architectural insights
2. After debugging: Document root causes and fixes
3. After refactoring: Record successful patterns
4. Before compaction: Preserve current task context
5. After commits: Summarize significant changes

Example: Architecture Memory

write_memory(
  key="architecture_overview",
  content="""
# Project Architecture

## Layers
- API: FastAPI routes in src/api/
- Services: Business logic in src/services/
- Models: SQLAlchemy models in src/models/

## Key Patterns
- Dependency injection via FastAPI Depends
- Repository pattern for data access

## Entry Points
- Main app: src/main.py
- CLI: src/cli.py
"""
)

Example: Code Conventions Memory

write_memory(
  key="code_conventions",
  content="""
# Code Conventions

- snake_case for functions/variables
- PascalCase for classes
- Type hints required for public functions
- Docstrings in Google style
- Tests in tests/ mirror src/ structure
"""
)